1. BigHat Biosciences
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  3. Director of Machine Learning
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Role description

Director of Machine Learning

BigHat Biosciences logoBigHat Biosciences
AI-native
WorkplaceOn-site
SeniorityDirector / Executive
Location

Company info

BigHat Biosciences logo

BigHat Biosciences

BigHat Biosciences is a novel protein therapeutics company and developer of an AI-guided antibody design platform

BigHat’s mission is to improve human health by making it far easier to design advanced, next-generation antibody therapeutics. Our AI-enabled experimental platform integrates a high-speed characterization or “wet” lab with machine learning technologies to speed the antibody engineering process. When applied, these design capabilities have the potential to drive the development of new generations of safer and more effective treatments for patients suffering from today’s most challenging diseases. BigHat is backed by Section 32, ‍Andreessen Horowitz, 8VC, Amgen Ventures, Bristol Myers Squibb, Quadrille, Grids Capital, AME Cloud Ventures, Innovation Endeavors and Gaingels.

Private companySeries CRecently raised
Founded2019
HQSan Mateo, United States
San Mateo, CA
Engineering

BigHat Biosciences is seeking an exceptional player-coach to serve as Director of Machine Learning. Reporting to the CIO, you will own the technical direction, and a meaningful share of the hands-on execution, of BigHat's machine learning capabilities and the growing domain of machine learning operations, including agent development and how agents automate and extend our internally built computational platform and force multiply the impact of our teams.

We are looking for someone with genuine theoretical depth and the vision to say where ML-driven antibody design should go next. Your team will develop state-of-the-art antibody property models with the goal of iteratively improving our antibody designs and you’ll own the proof points that demonstrate the impact of these models. You’ll build agent services to bolster the agility and impact of our teams and work with frontier AI labs to adapt LLMs to new agentic antibody design challenges. As our platform value grows, so does our opportunity to create new and valuable platform partnerships. You will be accountable for the ML that differentiates our therapeutic programs, and for the modeling capabilities we put in front of data and model partners.

At BigHat, we only declare success upon synthesis of real antibodies with drug-like properties that improve patient outcomes. This is a rare opportunity to run frontier ML within a one-of-a-kind production platform, with an automated high-throughput wet lab generating the data to fuel it.

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Size
51-200 employees
IndustryBiotechnology Research
Latest fundingSeries C · Sep 24, 2026
Investors
8VCInnovation EndeavorsAME Cloud VenturesAndreessen Horowitz
Tech stackprism, tableau, amazon-ecs, broadly, workspace, microsoft-powerpoint, pytorch, jira, graphpad-prism, zoom, agilent, google-docs, runcode, google-cloud-platform, netsuite, postgresql, zoom-rooms, benchmark, microsoft-typescript, pandas

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